JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Prerequisites

Operations Research, Optimization Techniques and Applications and Probability

Statistics

Course Objectives:

• Learn way of analyzing the systems.
• Classification of systems based nature of dynamics and knowledge of elements.
• To develop simulation model for dynamic discrete – event stochastic system.
• To run the model and collect the data.
• To analyze the output data of simulation for specified for performance measures bases on type of simulation and method of output data analysis.

Course Outcomes

At the end of course, student should able to

• Define the state of system W.R.T specified performance measures.
• Identify Dynamic Discrete- event stochastic system.
• Develop simulation model for the said system
• Analyze the model and present the results to specified confidence level.

UNIT - I

System – ways to analyze the system – Model - types of models – Simulation – Definition – Types of simulation models – steps involved in simulation – Advantages & Disadvantages. Parameter estimation – estimator – properties – estimate – point estimate – confidence interval estimates – independent – dependent – hypothesis – types of hypothesis- steps – types 1& 2 errors – Framing – strong law of large numbers.

UNIT - II

Building of Simulation model – validation – verification – credibility – their timing – principles of valid simulation Modeling – Techniques for verification – statistical procedures for developing credible model. Modeling of stochastic input elements – importance – various procedures – theoretical distribution – continuous – discrete – their suitability in modeling.

UNIT - III

Generation of random variates – factors for selection – methods – inverse transform – composition – convolution – acceptance – rejection – generation of random variables – exponential – uniform – weibull – normal Bernoullie – Binomial – uniform – poison. Simulation languages – comparison of simulation languages with general purpose languages – Simulation languages vs Simulators – software features – statistical capabilities – G P S S – SIMAN- SIMSCRIPT –Simulation of M/M/1 queue – comparison of simulation languages.

UNIT - IV

Output data analysis – Types of Simulation with respect to output data analysis – warm up period- Welch algorithm – Approaches for Steady – State Analysis – replication – Batch means methods – comparisons

UNIT - V

Applications of Simulation – flow shop system – job shop system – M/M/1 queues with infinite and finite capacities – Simple fixed period inventory system – New boy paper problem.

R19 M.Tech. CAD/CAM

TEXT BOOKS:

• 1. Simulation Modelling and Analysis by Law, A.M. & Kelton, McGraw Hill, 2nd Edition, New York, 1991.
• 2. Discrete Event System Simulation by Banks J. & Carson J.S., PH, Englewood Cliffs, NJ, 1984.

REFERENCE BOOKS:

• 1. Simulation of Manufacturing Systems by Carrie A., Wiley, NY, 1990.
• 2. A Course in Simulation by Ross, S.M., McMillan, NY, 1990.
• 3. Simulation Modelling and SIMNET by Taha H.A., PH, Englewood Cliffs, NJ, 1987. R19 M.Tech. CAD/CAM M. TECH. I Year II Sem. (CAD/CAM)